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xuliu15/
Frisian_32r_LoRA_10mins

Name: Frisian_32r_LoRA_10mins
Availability: InStock

peft

tensorboard

safetensors

generated_from_trainer

mozilla-foundation/common_voice_6_1

openai/whisper-small

adapter

apache-2.0

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LoRA-Frisian-10m

This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_6_1 dataset. It achieves the following results on the evaluation set:

Loss: 1.4867

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.001
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	15	2.3256
1.8865	2.0	30	2.1013
1.8865	3.0	45	1.6160
1.0013	4.0	60	1.5231
0.292	5.0	75	1.5076
0.292	6.0	90	1.4960
0.1192	7.0	105	1.4306
0.1192	8.0	120	1.4704
0.0475	9.0	135	1.4549
0.019	10.0	150	1.4525
0.019	11.0	165	1.4633
0.0074	12.0	180	1.4670
0.0074	13.0	195	1.4709
0.0048	14.0	210	1.4759
0.004	15.0	225	1.4792
0.004	16.0	240	1.4820
0.0035	17.0	255	1.4841
0.0035	18.0	270	1.4855
0.0033	19.0	285	1.4862
0.0032	20.0	300	1.4867

Framework versions

PEFT 0.10.0
Transformers 4.40.1
Pytorch 2.3.0+cu121
Datasets 2.19.0
Tokenizers 0.19.1

xuliu15/Frisian_32r_LoRA_10mins

LoRA-Frisian-10m

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

xuliu15/
Frisian_32r_LoRA_10mins